Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
What Drives Interactive Improvement from Feedback?
arXiv:2606.30774v1 Announce Type: new Abstract: We study when natural-language feedback produces improvement beyond the gains obtainable from repeated attempts alone.…
TraceLab: Characterizing Coding Agent Workloads for LLM Serving
arXiv:2606.30560v2 Announce Type: replace-cross Abstract: Coding agents are rapidly becoming a major application of agentic LLMs, but serving them efficiently…
Improving multichannel speech enhancement through accurate room-acoustic simulations
arXiv:2606.31552v1 Announce Type: cross Abstract: Room-acoustic simulations are widely used to augment training data for deep-learning-based speech enhancement. While most…
On the Convergence of Self-Improving Online LLM Alignment
arXiv:2606.31524v1 Announce Type: cross Abstract: The Self-Improving Alignment (SAIL) algorithm addresses distribution shift by reducing a bilevel formulation of the…
TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation
arXiv:2606.29575v2 Announce Type: replace-cross Abstract: Recent advances in speech separation (SS) have led to compact front-end models with small parameter…
Recursive Self-Evolving Agents via Held-Out Selection
arXiv:2606.28374v1 Announce Type: new Abstract: LLM agents are increasingly improved without weight updates by evolving a natural-language artifact, such as…
Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models
arXiv:2606.28153v2 Announce Type: replace-cross Abstract: Jailbreak attacks bypass LLM safety alignment, yet their mechanisms remain poorly understood. We provide evidence…
Early Warning Signals for OpenVLA Failure under Visual Distribution Shift
arXiv:2606.29699v1 Announce Type: cross Abstract: Vision Language Action models combine perception, language grounding, and control in a single policy, but…
A Machine-Verified Proof of a Quantum-Optimization Conjecture
arXiv:2606.29687v1 Announce Type: cross Abstract: We report a machine-verified resolution of a problem open for over a decade in quantum…
Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding
arXiv:2606.27922v2 Announce Type: replace-cross Abstract: Current multimodal reflection mechanisms for long video understanding predominantly rely on closed-loop self-reflection within internal…
